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Bioie:从文献中提取可重新定位的生物相互作用信息并进行本体注释。

Bioie: retargetable information extraction and ontological annotation of biological interactions from the literature.

作者信息

Kim Jung-Jae, Park Jong C

机构信息

Computer Science Division & AITrc, Korea Advanced Institute of Science and Technology, 373-1, Guseong-dong, Yuseong-gu, Daejeon 305-701, South Korea.

出版信息

J Bioinform Comput Biol. 2004 Sep;2(3):551-68. doi: 10.1142/s0219720004000739.

Abstract

The need for extracting general biological interactions of arbitrary types from the rapidly growing volume of the biomedical literature is drawing increased attention, while the need for this much diversity also requires both a robust treatment of complex linguistic phenomena and a method to consistently characterize the results. We present a biomedical information extraction system, BioIE, to address both of these needs by utilizing a full-fledged English grammar formalism, or a combinatory categorial grammar, and by annotating the results with the terms of Gene Ontology, which provides a common and controlled vocabulary. BioIE deals with complex linguistic phenomena such as coordination, relative structures, acronyms, appositive structures, and anaphoric expressions. In order to deal with real-world syntactic variations of ontological terms, BioIE utilizes the syntactic dependencies between words in sentences as well, based on the observation that the component words in an ontological term usually appear in a sentence with known patterns of syntactic dependencies.

摘要

从快速增长的生物医学文献中提取任意类型的一般生物相互作用的需求正日益受到关注,而对于如此多样的需求还需要对复杂语言现象进行稳健处理以及一种一致地表征结果的方法。我们提出了一个生物医学信息提取系统BioIE,通过利用成熟的英语语法形式体系(即组合范畴语法)以及用基因本体术语对结果进行注释(基因本体提供了一个通用且受控的词汇表)来满足这两个需求。BioIE处理诸如并列结构、关系结构、首字母缩略词、同位结构和指代性表达等复杂语言现象。为了处理本体术语在现实世界中的句法变化,BioIE还利用句子中单词之间的句法依存关系,这是基于这样的观察:本体术语中的组成单词通常会以已知的句法依存模式出现在句子中。

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